A polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Parzen ...

The equivalence of the mean probability density function across the sampled clusters to the original set’s probability density function leads us to the condition: ...

Probability Density Function Calculating probabilities for continuous random variables requires a different approach from the methods used with discrete variables. If all the outcomes of a continuous ...

ConventionaL load forecasting involves the prediction of the mean value of the demand of an electric power system. The mean value of a quantity which is subject to uncertainty does not fully ...

A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

The focus is on the scale and shape factors, which are evaluated by mapping monthly mean wind speeds into a Weibull probability distribution function. Due to the imprecise nature of these factors, ...

"The probability of precipitation forecast is one of the most least understood elements of the weather forecast," National Weather Service says.